Stars
The source code for the Cutoff data augmentation approach proposed in this paper: "A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation".
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Collection of generative models in Pytorch version.
Graph Neural Network Library for PyTorch
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
A highly extensible software stack to empower everyone to build practical real-world live video analytics applications for object detection and counting with cutting edge machine learning algorithms.
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Machine Reading Comprehension in Tensorflow
Sequence Labeling in Tensorflow
Multi-Task Deep Neural Networks for Natural Language Understanding
TensorFlow code and pre-trained models for BERT